A glowing compute core connected to verified compute nodes

Agent-native compute orchestration

Pre-flight checks for agent compute.

Proof Grid sits before execution. It scores providers, prices the route, records the checks, and asks for approval before an agent spends compute.

Check
Provider, hardware, policy
Quote
Cost and fallback route
Hold
No run before approval
Control plane, not marketplace. Proof Grid makes compute supply readable before any job is sent.

System

The part between intent and execution.

Agents can request compute quickly. The harder problem is deciding which provider is acceptable, what the run will cost, and whether the user has approved it.

Provider file

A normalized profile for identity, hardware claims, uptime, benchmark samples, pricing, and workload limits.

Plan object

A pre-execution route with selected provider, cost estimate, fallback, checks performed, and approval state.

Receipt hash

A compact record that ties the plan, provider, approval state, and execution metadata into an auditable artifact.

Planning ledger

A job should have a paper trail before it runs.

jobinference.embed.batch
providernode-7c9
trust94 / 100
quote$0.38
fallbackedge-cpu-grid
stateapproval_required

Trust receipts

Receipts are the output, not the decoration.

Each planned run gets a record with provider context, approval state, quote, and hash. The goal is boring accountability.

Provider node-7c9.base
Hardware H100 class GPU
Uptime 99.3% / 30d
Quote $0.42 / task
Result hash 0x8f2...19a

Provider network

Provider claims should be comparable.

The table uses sample data. In production, rows come from signed provider profiles, monitoring, and verifier checks.

Provider Best for Trust Quote
Northstar H100 Pool Low-latency inference 94 $0.38
Vector Forge Cluster Fine-tuning jobs 91 $12.80
EdgeMesh CPU Grid Batch workloads 88 $2.14

Surplus adapter

Market routing after the plan is approved.

Proof Grid is adding a Surplus adapter in the public core repo. Surplus can provide live inference supply and price discovery; Proof Grid handles the pre-flight checks before that route is used.

01 Plan

Score providers, estimate cost, choose fallback.

02 Approve

Hold execution until the user or policy approves.

03 Route

Send approved inference work to a Surplus market.

04 Receipt

Attach market, model, settlement, and result metadata.

integration status adapter scaffold live in proofgrid-core

Demo plan

Switch the workload. Watch the route change.

Route a short inference task to the fastest trusted GPU pool under budget.

Selected provider Northstar H100 Pool
Trust score 94 / 100
Estimated cost $0.38
Approval state Ready for user approval

Live planning surface

The product should feel like this.

A narrow console for compute decisions: search, score, inspect, plan, hold. No run is sent until the policy says yes.

proof grid console

    Proof Grid AI

    A small guided assistant, not a chatbot.

    The prompts below explain core behavior without pretending the site is connected to a live model.

    Proof Grid AI

    Select a prompt to see how Proof Grid explains compute planning, trust, and protocol utility.

    Architecture

    Four objects, one decision path.

    Agent Requests compute
    Proof Grid Plans and verifies
    Provider Runs approved job
    Receipt Returns proof

    Roadmap

    Ship the control plane first.

    The first milestone is not a giant network. It is a reliable plan object that agents and users can inspect before compute is spent.

    Phase 01

    Agent-readable beta

    Publish provider discovery, planning endpoints, metadata files, and example agent workflows.

    Phase 02

    Provider trust profiles

    Add provider pages with hardware claims, uptime, benchmarks, policy limits, and pricing history.

    Phase 03

    Execution receipts

    Return job status, logs, timing, result hashes, and provider context after each approved compute task.

    Phase 04

    Verification network

    Expand toward third-party checks, reputation scoring, and automated fallback routing for agent workloads.

    Protocol utility

    $PROOF is for coordination work.

    $PROOF is planned for places where the network needs accountability: provider bonds, verifier work, settlement paths, and reputation weighting.

    Provider staking

    Compute providers can bond $PROOF to publish trust profiles, accept jobs, and signal accountability for claimed capacity.

    Verifier rewards

    Independent checkers can earn $PROOF for validating provider claims, execution receipts, benchmark samples, and uptime signals.

    Job settlement

    Agents can use $PROOF for planning fees, receipt generation, and optional settlement paths when compute jobs are approved.

    Reputation weighting

    Staked participation and verified receipts can contribute to provider reputation, fallback routing, and dispute prioritization.

    Utility design may evolve as the protocol is built. $PROOF is not required to understand the beta surface: discovery, planning, and receipts remain the core product.

    Revenue model

    Revenue comes from useful checks.

    If the system helps teams avoid bad routes, bad providers, and missing receipts, it has clear paid surfaces.

    01

    Planning API fees

    Developers and agent platforms can pay for provider search, trust scoring, route planning, and cost estimation at scale.

    02

    Provider verification

    Compute providers can pay for verified profiles, benchmark checks, uptime monitoring, and richer trust metadata.

    03

    Receipt infrastructure

    Teams can pay to store, query, and export execution receipts for compliance, debugging, billing, and agent audit trails.

    04

    Managed integrations

    Larger customers can pay for private provider routing, custom policy rules, wallet approvals, and dedicated support.

    Optional settlement fees can apply when Proof Grid coordinates approved compute jobs end to end. The product remains useful even before any settlement layer is enabled.

    API

    Small API, strict job boundary.

    The public core repo starts with providers, plans, jobs, and receipts. Everything else can be added after the boundary works.

    GET  /providers
    GET  /providers/:id
    POST /plan
    POST /jobs
    GET  /jobs/:id
    {
      "task": "inference",
      "budgetUsd": 1,
      "requirements": {
        "gpu": true,
        "maxLatencyMs": 1200
      }
    }

    Proof Grid

    Make compute decisions inspectable.

    The website is the surface. The core repo is the first implementation. Both point at the same rule: plan before execution.